Triple
T14336846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | manaca |
E355486
|
entity |
| Predicate | compatibleWith |
P203
|
FINISHED |
| Object | nimoca |
E355484
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: nimoca | Statement: [manaca, compatibleWith, nimoca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nimoca Context triple: [manaca, compatibleWith, nimoca]
-
A.
nimoca
chosen
nimoca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in parts of Japan, particularly in the Kyushu region.
-
B.
Kitaca
Kitaca is a rechargeable contactless smart card used primarily for public transportation and electronic payments in Japan’s Hokkaido region.
-
C.
NMOC
NMOC is an abbreviation commonly used for a Network Manager Operations Centre, a facility responsible for overseeing and coordinating network operations and performance.
-
D.
Shinkankakuha
Shinkankakuha was a Japanese literary movement of the early 20th century that sought to capture fresh, immediate sensory experience and psychological nuance through innovative narrative techniques.
-
E.
Tama Monorail
Tama Monorail is a straddle-beam monorail line in Tokyo, Japan, providing urban transit service through the Tama area.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8c2241e48190a0c626b3d741966a |
completed | April 14, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd46986758819088750150ad47bae1 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:14 a.m.